PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-04-25 10:20:50.067672+00:00 (UTC)
In US/Central Time, this is 2024-04-25 05:20:50.067672-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/89788baf7c1d0ed114c7da6a886e9ccee9dde03339f8bae6c738718619e229df.png
We are just generating a random time serie here.
../_images/9c6bfc646ea779c3a157566a15b6c6c0997d29823622eb0a94c5f448978364f4.png
../_images/8626d66fca59b38ee4bb1d74a383b9f1a335192ea0798de31c3f5fe0666783db.png